{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "将每个词建立一个独一无二的索引\n",
    "'''\n",
    "import torch\n",
    "from torch import nn\n",
    "from torch.utils import data\n",
    "import re\n",
    "import sys\n",
    "sys.path.append(\"../\")\n",
    "from mymodel import utils"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"./time_mechine.txt\",'r',encoding=\"utf-8\") as f:\n",
    "    lines = f.readlines()\n",
    "content = [re.sub(\"[^A-Za-z]+\",\" \",line).strip().lower() for line in lines] # 将不是A-Za-z中的一个或多个字符替换为空格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['the', 'project', 'gutenberg', 'ebook', 'of', 'the', 'time', 'machine'],\n",
       " [],\n",
       " ['this',\n",
       "  'ebook',\n",
       "  'is',\n",
       "  'for',\n",
       "  'the',\n",
       "  'use',\n",
       "  'of',\n",
       "  'anyone',\n",
       "  'anywhere',\n",
       "  'in',\n",
       "  'the',\n",
       "  'united',\n",
       "  'states',\n",
       "  'and'],\n",
       " ['most',\n",
       "  'other',\n",
       "  'parts',\n",
       "  'of',\n",
       "  'the',\n",
       "  'world',\n",
       "  'at',\n",
       "  'no',\n",
       "  'cost',\n",
       "  'and',\n",
       "  'with',\n",
       "  'almost',\n",
       "  'no',\n",
       "  'restrictions'],\n",
       " ['whatsoever',\n",
       "  'you',\n",
       "  'may',\n",
       "  'copy',\n",
       "  'it',\n",
       "  'give',\n",
       "  'it',\n",
       "  'away',\n",
       "  'or',\n",
       "  're',\n",
       "  'use',\n",
       "  'it',\n",
       "  'under',\n",
       "  'the',\n",
       "  'terms'],\n",
       " ['of',\n",
       "  'the',\n",
       "  'project',\n",
       "  'gutenberg',\n",
       "  'license',\n",
       "  'included',\n",
       "  'with',\n",
       "  'this',\n",
       "  'ebook',\n",
       "  'or',\n",
       "  'online'],\n",
       " ['at',\n",
       "  'www',\n",
       "  'gutenberg',\n",
       "  'org',\n",
       "  'if',\n",
       "  'you',\n",
       "  'are',\n",
       "  'not',\n",
       "  'located',\n",
       "  'in',\n",
       "  'the',\n",
       "  'united',\n",
       "  'states'],\n",
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       "  'will',\n",
       "  'have',\n",
       "  'to',\n",
       "  'check',\n",
       "  'the',\n",
       "  'laws',\n",
       "  'of',\n",
       "  'the',\n",
       "  'country',\n",
       "  'where',\n",
       "  'you',\n",
       "  'are',\n",
       "  'located'],\n",
       " ['before', 'using', 'this', 'ebook'],\n",
       " [],\n",
       " ['title', 'the', 'time', 'machine'],\n",
       " [],\n",
       " ['author', 'h', 'g', 'wells'],\n",
       " [],\n",
       " ['release', 'date', 'october', 'ebook'],\n",
       " ['most', 'recently', 'updated', 'march'],\n",
       " [],\n",
       " ['language', 'english'],\n",
       " [],\n",
       " [],\n",
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       " [],\n",
       " [],\n",
       " [],\n",
       " [],\n",
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       " [],\n",
       " ['an', 'invention'],\n",
       " [],\n",
       " ['by', 'h', 'g', 'wells'],\n",
       " [],\n",
       " [],\n",
       " ['contents'],\n",
       " [],\n",
       " ['i', 'introduction'],\n",
       " ['ii', 'the', 'machine'],\n",
       " ['iii', 'the', 'time', 'traveller', 'returns'],\n",
       " ['iv', 'time', 'travelling'],\n",
       " ['v', 'in', 'the', 'golden', 'age'],\n",
       " ['vi', 'the', 'sunset', 'of', 'mankind'],\n",
       " ['vii', 'a', 'sudden', 'shock'],\n",
       " ['viii', 'explanation'],\n",
       " ['ix', 'the', 'morlocks'],\n",
       " ['x', 'when', 'night', 'came'],\n",
       " ['xi', 'the', 'palace', 'of', 'green', 'porcelain'],\n",
       " ['xii', 'in', 'the', 'darkness'],\n",
       " ['xiii', 'the', 'trap', 'of', 'the', 'white', 'sphinx'],\n",
       " ['xiv', 'the', 'further', 'vision'],\n",
       " ['xv', 'the', 'time', 'traveller', 's', 'return'],\n",
       " ['xvi', 'after', 'the', 'story'],\n",
       " ['epilogue'],\n",
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       "  'animated',\n",
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       "  'brightly',\n",
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       "  'radiance',\n",
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       "  'incandescent',\n",
       "  'lights',\n",
       "  'in',\n",
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       "  'runs',\n",
       "  'gracefully',\n",
       "  'free',\n",
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       "  'precision',\n",
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       "  'lean',\n",
       "  'forefinger',\n",
       "  'as',\n",
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       "  'sat',\n",
       "  'and',\n",
       "  'lazily',\n",
       "  'admired',\n",
       "  'his'],\n",
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       "  'new',\n",
       "  'paradox',\n",
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       "  'have',\n",
       "  'to',\n",
       "  'controvert',\n",
       "  'one',\n",
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       "  'that',\n",
       "  'are',\n",
       "  'almost',\n",
       "  'universally',\n",
       "  'accepted',\n",
       "  'the',\n",
       "  'geometry',\n",
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       "  'three',\n",
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       "  'husk',\n",
       "  'was',\n",
       "  'especially',\n",
       "  'good',\n",
       "  'and',\n",
       "  'i'],\n",
       " ['made',\n",
       "  'it',\n",
       "  'my',\n",
       "  'staple',\n",
       "  'at',\n",
       "  'first',\n",
       "  'i',\n",
       "  'was',\n",
       "  'puzzled',\n",
       "  'by',\n",
       "  'all',\n",
       "  'these',\n",
       "  'strange',\n",
       "  'fruits'],\n",
       " ['and',\n",
       "  'by',\n",
       "  'the',\n",
       "  'strange',\n",
       "  'flowers',\n",
       "  'i',\n",
       "  'saw',\n",
       "  'but',\n",
       "  'later',\n",
       "  'i',\n",
       "  'began',\n",
       "  'to',\n",
       "  'perceive',\n",
       "  'their'],\n",
       " ['import'],\n",
       " [],\n",
       " ['however',\n",
       "  'i',\n",
       "  'am',\n",
       "  'telling',\n",
       "  'you',\n",
       "  'of',\n",
       "  'my',\n",
       "  'fruit',\n",
       "  'dinner',\n",
       "  'in',\n",
       "  'the',\n",
       "  'distant',\n",
       "  'future'],\n",
       " ['now',\n",
       "  'so',\n",
       "  'soon',\n",
       "  'as',\n",
       "  'my',\n",
       "  'appetite',\n",
       "  'was',\n",
       "  'a',\n",
       "  'little',\n",
       "  'checked',\n",
       "  'i',\n",
       "  'determined',\n",
       "  'to',\n",
       "  'make'],\n",
       " ['a',\n",
       "  'resolute',\n",
       "  'attempt',\n",
       "  'to',\n",
       "  'learn',\n",
       "  'the',\n",
       "  'speech',\n",
       "  'of',\n",
       "  'these',\n",
       "  'new',\n",
       "  'men',\n",
       "  'of',\n",
       "  'mine'],\n",
       " ['clearly',\n",
       "  'that',\n",
       "  'was',\n",
       "  'the',\n",
       "  'next',\n",
       "  'thing',\n",
       "  'to',\n",
       "  'do',\n",
       "  'the',\n",
       "  'fruits',\n",
       "  'seemed',\n",
       "  'a',\n",
       "  'convenient'],\n",
       " ['thing',\n",
       "  'to',\n",
       "  'begin',\n",
       "  'upon',\n",
       "  'and',\n",
       "  'holding',\n",
       "  'one',\n",
       "  'of',\n",
       "  'these',\n",
       "  'up',\n",
       "  'i',\n",
       "  'began',\n",
       "  'a',\n",
       "  'series',\n",
       "  'of'],\n",
       " ['interrogative',\n",
       "  'sounds',\n",
       "  'and',\n",
       "  'gestures',\n",
       "  'i',\n",
       "  'had',\n",
       "  'some',\n",
       "  'considerable',\n",
       "  'difficulty'],\n",
       " ['in',\n",
       "  'conveying',\n",
       "  'my',\n",
       "  'meaning',\n",
       "  'at',\n",
       "  'first',\n",
       "  'my',\n",
       "  'efforts',\n",
       "  'met',\n",
       "  'with',\n",
       "  'a',\n",
       "  'stare',\n",
       "  'of'],\n",
       " ['surprise',\n",
       "  'or',\n",
       "  'inextinguishable',\n",
       "  'laughter',\n",
       "  'but',\n",
       "  'presently',\n",
       "  'a',\n",
       "  'fair',\n",
       "  'haired'],\n",
       " ['little',\n",
       "  'creature',\n",
       "  'seemed',\n",
       "  'to',\n",
       "  'grasp',\n",
       "  'my',\n",
       "  'intention',\n",
       "  'and',\n",
       "  'repeated',\n",
       "  'a',\n",
       "  'name',\n",
       "  'they'],\n",
       " ['had',\n",
       "  'to',\n",
       "  'chatter',\n",
       "  'and',\n",
       "  'explain',\n",
       "  'the',\n",
       "  'business',\n",
       "  'at',\n",
       "  'great',\n",
       "  'length',\n",
       "  'to',\n",
       "  'each',\n",
       "  'other'],\n",
       " ['and',\n",
       "  'my',\n",
       "  'first',\n",
       "  'attempts',\n",
       "  'to',\n",
       "  'make',\n",
       "  'the',\n",
       "  'exquisite',\n",
       "  'little',\n",
       "  'sounds',\n",
       "  'of',\n",
       "  'their'],\n",
       " ['language',\n",
       "  'caused',\n",
       "  'an',\n",
       "  'immense',\n",
       "  'amount',\n",
       "  'of',\n",
       "  'genuine',\n",
       "  'if',\n",
       "  'uncivil',\n",
       "  'amusement'],\n",
       " ['however',\n",
       "  'i',\n",
       "  'felt',\n",
       "  'like',\n",
       "  'a',\n",
       "  'schoolmaster',\n",
       "  'amidst',\n",
       "  'children',\n",
       "  'and',\n",
       "  'persisted',\n",
       "  'and'],\n",
       " ['presently',\n",
       "  'i',\n",
       "  'had',\n",
       "  'a',\n",
       "  'score',\n",
       "  'of',\n",
       "  'noun',\n",
       "  'substantives',\n",
       "  'at',\n",
       "  'least',\n",
       "  'at',\n",
       "  'my',\n",
       "  'command'],\n",
       " ['and',\n",
       "  'then',\n",
       "  'i',\n",
       "  'got',\n",
       "  'to',\n",
       "  'demonstrative',\n",
       "  'pronouns',\n",
       "  'and',\n",
       "  'even',\n",
       "  'the',\n",
       "  'verb',\n",
       "  'to',\n",
       "  'eat'],\n",
       " ['but',\n",
       "  'it',\n",
       "  'was',\n",
       "  'slow',\n",
       "  'work',\n",
       "  'and',\n",
       "  'the',\n",
       "  'little',\n",
       "  'people',\n",
       "  'soon',\n",
       "  'tired',\n",
       "  'and',\n",
       "  'wanted',\n",
       "  'to'],\n",
       " ['get',\n",
       "  'away',\n",
       "  'from',\n",
       "  'my',\n",
       "  'interrogations',\n",
       "  'so',\n",
       "  'i',\n",
       "  'determined',\n",
       "  'rather',\n",
       "  'of',\n",
       "  'necessity'],\n",
       " ['to',\n",
       "  'let',\n",
       "  'them',\n",
       "  'give',\n",
       "  'their',\n",
       "  'lessons',\n",
       "  'in',\n",
       "  'little',\n",
       "  'doses',\n",
       "  'when',\n",
       "  'they',\n",
       "  'felt',\n",
       "  'inclined'],\n",
       " ['and',\n",
       "  'very',\n",
       "  'little',\n",
       "  'doses',\n",
       "  'i',\n",
       "  'found',\n",
       "  'they',\n",
       "  'were',\n",
       "  'before',\n",
       "  'long',\n",
       "  'for',\n",
       "  'i',\n",
       "  'never',\n",
       "  'met'],\n",
       " ['people', 'more', 'indolent', 'or', 'more', 'easily', 'fatigued'],\n",
       " [],\n",
       " [],\n",
       " [],\n",
       " [],\n",
       " ['vi'],\n",
       " ['the', 'sunset', 'of', 'mankind'],\n",
       " [],\n",
       " [],\n",
       " ['a',\n",
       "  'queer',\n",
       "  'thing',\n",
       "  'i',\n",
       "  'soon',\n",
       "  'discovered',\n",
       "  'about',\n",
       "  'my',\n",
       "  'little',\n",
       "  'hosts',\n",
       "  'and',\n",
       "  'that',\n",
       "  'was'],\n",
       " ['their',\n",
       "  'lack',\n",
       "  'of',\n",
       "  'interest',\n",
       "  'they',\n",
       "  'would',\n",
       "  'come',\n",
       "  'to',\n",
       "  'me',\n",
       "  'with',\n",
       "  'eager',\n",
       "  'cries',\n",
       "  'of'],\n",
       " ['astonishment',\n",
       "  'like',\n",
       "  'children',\n",
       "  'but',\n",
       "  'like',\n",
       "  'children',\n",
       "  'they',\n",
       "  'would',\n",
       "  'soon',\n",
       "  'stop'],\n",
       " ['examining',\n",
       "  'me',\n",
       "  'and',\n",
       "  'wander',\n",
       "  'away',\n",
       "  'after',\n",
       "  'some',\n",
       "  'other',\n",
       "  'toy',\n",
       "  'the',\n",
       "  'dinner',\n",
       "  'and',\n",
       "  'my'],\n",
       " ['conversational',\n",
       "  'beginnings',\n",
       "  'ended',\n",
       "  'i',\n",
       "  'noted',\n",
       "  'for',\n",
       "  'the',\n",
       "  'first',\n",
       "  'time',\n",
       "  'that',\n",
       "  'almost'],\n",
       " ['all',\n",
       "  'those',\n",
       "  'who',\n",
       "  'had',\n",
       "  'surrounded',\n",
       "  'me',\n",
       "  'at',\n",
       "  'first',\n",
       "  'were',\n",
       "  'gone',\n",
       "  'it',\n",
       "  'is',\n",
       "  'odd',\n",
       "  'too',\n",
       "  'how'],\n",
       " ['speedily',\n",
       "  'i',\n",
       "  'came',\n",
       "  'to',\n",
       "  'disregard',\n",
       "  'these',\n",
       "  'little',\n",
       "  'people',\n",
       "  'i',\n",
       "  'went',\n",
       "  'out',\n",
       "  'through'],\n",
       " ['the',\n",
       "  'portal',\n",
       "  'into',\n",
       "  'the',\n",
       "  'sunlit',\n",
       "  'world',\n",
       "  'again',\n",
       "  'as',\n",
       "  'soon',\n",
       "  'as',\n",
       "  'my',\n",
       "  'hunger',\n",
       "  'was'],\n",
       " ...]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokens = utils.tokenize(content,\"word\") # tokens还是分行2d的\n",
    "vocab = utils.Vocab(tokens)\n",
    "tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus = [vocab[token] for line in tokens for token in line] # 把字符转化为数字"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4934\n",
      "['the', 'time', 'traveller'] 63\n",
      "['the', 'time', 'machine'] 34\n",
      "['the', 'project', 'gutenberg'] 33\n",
      "['the', 'medical', 'man'] 24\n",
      "['project', 'gutenberg', 'electronic'] 18\n",
      "['it', 'seemed', 'to'] 16\n",
      "['it', 'was', 'a'] 15\n",
      "['here', 'and', 'there'] 15\n",
      "['the', 'united', 'states'] 14\n",
      "['seemed', 'to', 'me'] 14\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "# 单个单词频率分布loglog\n",
    "plt.grid()\n",
    "print(len(vocab))\n",
    "plt.loglog([freq for token, freq in vocab.token_freqs])\n",
    "\n",
    "# 可以看一下三元的频率\n",
    "tokens_tri = [token for token in zip(corpus[:-2],corpus[1:-1],corpus[2:])]\n",
    "voca_tri = utils.Vocab(tokens_tri)\n",
    "for i in range(10):\n",
    "    print(vocab.to_tokens(voca_tri.token_freqs[i][0]),voca_tri.token_freqs[i][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X:tensor([[25, 26, 27, 28, 29],\n",
      "        [ 0,  1,  2,  3,  4]])\n",
      " Y:tensor([[26, 27, 28, 29, 30],\n",
      "        [ 1,  2,  3,  4,  5]])\n",
      "X:tensor([[15, 16, 17, 18, 19],\n",
      "        [20, 21, 22, 23, 24]])\n",
      " Y:tensor([[16, 17, 18, 19, 20],\n",
      "        [21, 22, 23, 24, 25]])\n",
      "X:tensor([[ 5,  6,  7,  8,  9],\n",
      "        [10, 11, 12, 13, 14]])\n",
      " Y:tensor([[ 6,  7,  8,  9, 10],\n",
      "        [11, 12, 13, 14, 15]])\n"
     ]
    }
   ],
   "source": [
    "# 测试一下我们的random iter\n",
    "seq0 = list(range(35)) # 0-34 的数字序列\n",
    "for X,Y in utils.seq_data_iter_random(seq0, 2, 5):\n",
    "    print(f\"X:{X}\\n Y:{Y}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X:tensor([[ 4,  5,  6,  7,  8],\n",
      "        [19, 20, 21, 22, 23]])\n",
      " Y:tensor([[ 5,  6,  7,  8,  9],\n",
      "        [20, 21, 22, 23, 24]])\n",
      "X:tensor([[ 9, 10, 11, 12, 13],\n",
      "        [24, 25, 26, 27, 28]])\n",
      " Y:tensor([[10, 11, 12, 13, 14],\n",
      "        [25, 26, 27, 28, 29]])\n"
     ]
    }
   ],
   "source": [
    "# 测试一下顺序iteration\n",
    "for X,Y in utils.seq_data_iter_seq(seq0, 2, 5):\n",
    "    print(f\"X:{X}\\n Y:{Y}\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
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